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Tricta Technologies (P) Ltd

4th Floor Module No-7(a), Gayatri Roof Top, Technopark Campus, Trivandrum – 695581 , 695581

Technical Project Manager

Closing Date:23,July 2026
Job Published: 08,June 2026
Contact Email: hr@tricta.com

Brief Description

Job Summary

Tricta Technologies is seeking a highly skilled Technical Project Manager with strong expertise in Artificial Intelligence, Generative AI, Microservices Architecture, Cloud Platforms, Enterprise Applications, and Modern Software Development Practices.

The ideal candidate should be capable of managing end-to-end delivery of complex technology projects, leading cross-functional teams, interacting with clients, preparing technical solutions, and ensuring successful project execution.


Core Responsibilities

Project Management

  • Lead multiple projects from initiation to deployment.
  • Define project scope, timelines, milestones, and resource allocation.
  • Manage Agile/Scrum delivery processes.
  • Monitor project risks, dependencies, and mitigation plans.
  • Track project budgets and profitability.
  • Ensure high-quality and on-time project delivery.

AI Project Management

  • Manage Generative AI and Machine Learning projects.
  • Understand LLM-based architectures and deployment strategies.
  • Coordinate AI Engineers, Data Scientists, and ML Engineers.
  • Define AI project roadmaps and delivery plans.
  • Monitor AI model performance and business outcomes.
  • Manage AI governance, security, and compliance requirements.

Solution Architecture Coordination

  • Collaborate with Solution Architects and Technical Leads.
  • Review system designs and architecture documents.
  • Ensure scalability, reliability, and security of solutions.
  • Drive architecture discussions with clients and stakeholders.

Client & Stakeholder Management

  • Conduct requirement gathering workshops.
  • Prepare technical proposals and project estimations.
  • Present solutions to enterprise and government clients.
  • Manage stakeholder communication and project reporting.

Mandatory Technical Knowledge

Artificial Intelligence & GenAI

  • LLMs (GPT, Llama, Claude, Gemini)
  • Retrieval-Augmented Generation (RAG)
  • AI Agents & Agentic Workflows
  • MCP (Model Context Protocol)
  • Prompt Engineering
  • Vector Databases
  • Fine-Tuning & Model Evaluation
  • AI Chatbots and Voice Bots
  • Computer Vision
  • Speech-to-Text and Text-to-Speech Solutions

Microservices Architecture

  • Domain-Driven Design (DDD)
  • API Gateway
  • Service Discovery
  • Event-Driven Architecture
  • CQRS Pattern
  • Saga Pattern
  • Circuit Breaker Pattern
  • Distributed Transactions
  • Service Mesh
  • API Security
  • Scalability and Performance Optimization

Backend Technologies

  • Java Spring Boot Microservices
  • Node.js
  • .NET Core
  • Python FastAPI
  • Laravel
  • REST APIs
  • GraphQL
  • gRPC

Cloud & DevOps

  • AWS
  • Azure
  • Google Cloud Platform
  • Docker
  • Kubernetes
  • OpenShift
  • Terraform
  • Jenkins
  • GitHub Actions
  • GitLab CI/CD
  • ArgoCD

Messaging & Streaming

  • Apache Kafka
  • RabbitMQ
  • MQTT
  • Redis Streams

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Elasticsearch
  • Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus)

Monitoring & Observability

  • Prometheus
  • Grafana
  • ELK Stack
  • OpenTelemetry
  • Jaeger
  • Application Performance Monitoring (APM)

Security

  • OAuth2
  • OpenID Connect
  • JWT
  • Zero Trust Architecture
  • API Security
  • OWASP Standards

Preferred Experience

  • AI/LLM Product Development
  • Government Projects
  • Banking & Financial Solutions
  • Smart City Projects
  • Enterprise Digital Transformation
  • SaaS Product Development
  • Large-scale Cloud Migration Projects

Preferred Skills

Required Skills

  • Agile/Scrum Mastery
  • Technical Documentation
  • Project Estimation
  • Resource Planning
  • Budget Management
  • Vendor Management
  • Risk Assessment
  • Stakeholder Management
  • Team Leadership
  • Pre-Sales Support
  • Proposal Preparation

Tools

  • Jira
  • Confluence
  • Azure DevOps
  • ClickUp
  • Microsoft Project
  • GitHub
  • GitLab
  • SonarQube
  • Postman
  • Swagger/OpenAPI

Qualifications

  • B.Tech / M.Tech / MCA / MSc Computer Science
  • PMP (Preferred)
  • Scrum Master Certification (Preferred)
  • Cloud Certification (AWS/Azure/GCP) Preferred

Nice to Have

  • Experience with AI Agents and Autonomous Systems
  • Knowledge of Multi-Agent Architectures
  • Experience with Hybrid Cloud and On-Prem AI Deployments
  • Experience in Enterprise Document Management Systems (EDMS)
  • Knowledge of Blockchain and Digital Identity Systems

Ideal Candidate Profile

The candidate should be able to:

  • Discuss architecture with technical teams.
  • Understand AI and Microservices-based enterprise solutions.
  • Manage developers, AI engineers, DevOps engineers, and QA teams.
  • Communicate effectively with enterprise and government clients.
  • Convert business requirements into scalable technical solutions.
  • Drive projects from proposal stage to production deployment.